ArticleNature genetics2015
Understanding multicellular function and disease with human tissue-specific networks.
Article in Nature genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 532 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
532 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Hippocampal transcriptome-wide association study and pathway analysis of mitochondrial solute carriers in Alzheimer's disease.Translational psychiatry · 2024Pooled it
- Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data.Human molecular genetics · 2024Pooled it
- Integrative transcriptome-wide analysis of atopic dermatitis for drug repositioning.Communications biology · 2022Pooled it
- Urinary clusterin as a biomarker of human kidney disease progression and response to the endothelin receptor antagonist atrasentan: An exploratory analysis from the SONAR trial.Nature communications · 2026Trial
- Bronchopulmonary dysplasia and wnt pathway-associated single nucleotide polymorphisms.Pediatric research · 2022Trial
- Insulin resistance is associated with mammary mitochondrial dysfunction at the onset of human lactation.The Journal of clinical investigation · 2026Article
- Effect of siRNA-mediated knockdown of the PD-L1 (CD274) gene on DUSP gene family expression and potential clinical implications in gastric cancer.Medical oncology (Northwood, London, England) · 2026Article
- Human Genetic Variation Associates With Infection by Derived Ugandan M. tuberculosis Lineage.The Journal of infectious diseases · 2026Article
- engGNN: a dual-graph neural network for omics-based disease classification and feature selection.Briefings in bioinformatics · 2026Article
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Kernelized approach enables explainable gene prioritizations for complex traits.bioRxiv : the preprint server for biology · 2026Article
- Correlation-Induced Accessibility Bridges in Biomedical Networks: A Proof-of-Concept Relational Graph Model.Entropy (Basel, Switzerland) · 2026Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- A Primary Open-Angle Glaucoma Locus Near Transcription FactorOphthalmology science · 2026Article
- Human multi-tissue transcriptomics identifies galectin-1 and follistatin-like 1 as exerkines with distinct transcript-to-serum coupling after exercise.The Journal of physiology · 2026Article
- Progress in the Application of Machine Learning in the Field of Single-Cell and Spatial Transcriptomics.Genes · 2026Review
- Strategies for constructing context-specific protein-protein interaction networks.Briefings in bioinformatics · 2026Review
- Urinary Extracellular Vesicles for High-Precision Bladder Cancer Subtyping and Prognosis.Journal of extracellular biology · 2026Article
- Single-cell profiling reveals epithelial and immune responses in BK polyomavirus-infected human kidney biopsies.JCI insight · 2026Article
- A tissue-specific atlas of protein-protein associations enables prioritization of candidate disease genes.Nature biotechnology · 2026Article
472 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors.
Funding
Abstract
Tissue and cell-type identity lie at the core of human physiology and disease. Understanding the genetic underpinnings of complex tissues and individual cell lineages is crucial for developing improved diagnostics and therapeutics. We present genome-wide functional interaction networks for 144 human tissues and cell types developed using a data-driven Bayesian methodology that integrates thousands of diverse experiments spanning tissue and disease states. Tissue-specific networks predict lineage-specific responses to perturbation, identify the changing functional roles of genes across tissues and illuminate relationships among diseases. We introduce NetWAS, which combines genes with nominally significant genome-wide association study (GWAS) P values and tissue-specific networks to identify disease-gene associations more accurately than GWAS alone. Our webserver, GIANT, provides an interface to human tissue networks through multi-gene queries, network visualization, analysis tools including NetWAS and downloadable networks. GIANT enables systematic exploration of the landscape of interacting genes that shape specialized cellular functions across more than a hundred human tissues and cell types.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.